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CodeHima
/
TOSBert

Text Classification
Transformers
Joblib
Safetensors
English
bert
tos
terms of services
Model card Files Files and versions
xet
Community

Instructions to use CodeHima/TOSBert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use CodeHima/TOSBert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="CodeHima/TOSBert")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("CodeHima/TOSBert")
    model = AutoModelForSequenceClassification.from_pretrained("CodeHima/TOSBert")
  • Notebooks
  • Google Colab
  • Kaggle
TOSBert
439 MB
Ctrl+K
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  • 2 contributors
History: 7 commits
CodeHima's picture
CodeHima
Model Training File
063221b verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • BertTOS.ipynb
    362 kB
    Model Training File almost 2 years ago
  • README.md
    5.44 kB
    Update README.md almost 2 years ago
  • config.json
    1.11 kB
    Initial commit almost 2 years ago
  • mlb.joblib

    Detected Pickle imports (6)

    • "joblib.numpy_pickle.NumpyArrayWrapper",
    • "sklearn.preprocessing._label.MultiLabelBinarizer",
    • "numpy.core.multiarray._reconstruct",
    • "_codecs.encode",
    • "numpy.ndarray",
    • "numpy.dtype"

    How to fix it?

    724 Bytes
    xet
    Initial commit almost 2 years ago
  • model.safetensors
    438 MB
    xet
    Initial commit almost 2 years ago
  • special_tokens_map.json
    695 Bytes
    Initial commit almost 2 years ago
  • tokenizer_config.json
    1.24 kB
    Initial commit almost 2 years ago
  • vocab.txt
    232 kB
    Initial commit almost 2 years ago